AIMC Topic: Aquatic Organisms

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Risk-reward trade-off during carbon starvation generates dichotomy in motility endurance among marine bacteria.

Nature microbiology May 26, 2025
Copiotrophic marine bacteria contribute to the control of carbon storage in the ocean by remineralizing organic matter. Motility presents copiotrophs with a risk-reward trade-off: it is highly beneficial in seeking out sparse nutrient hotspots, but e...
Biomass Bacteria Bacterial Physiological Phenomena Seawater Carbon Cycle Carbon Aquatic Organisms
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Intelligent Detection and Recognition of Marine Plankton by Digital Holography and Deep Learning.

Sensors (Basel, Switzerland) Apr 6, 2025
The detection, observation, recognition, and statistics of marine plankton are the basis of marine ecological research. In recent years, digital holography has been widely applied to plankton detection and recognition. However, the recording and reco...
Quantitative Phase Imaging Plankton Holography Deep Learning Algorithms Animals Image Processing, Computer-Assisted Aquatic Organisms
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CLSSATP: Contrastive learning and self-supervised learning model for aquatic toxicity prediction.

Aquatic toxicology (Amsterdam, Netherlands) Jan 7, 2025
As compound concentrations in aquatic environments increase, the habitat degradation of aquatic organisms underscores the growing importance of studying the impact of chemicals on diverse aquatic populations. Understanding the potential impacts of di...
Neural Networks, Computer Aquatic Organisms Supervised Machine Learning Deep Learning Water Pollutants, Chemical
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Enzymes from Fishery and Aquaculture Waste: Research Trends in the Era of Artificial Intelligence and Circular Bio-Economy.

Marine drugs Sep 10, 2024
In the era of the blue bio-economy, which promotes the sustainable utilization and exploitation of marine resources for economic growth and development, the fisheries and aquaculture industries still face huge sustainability issues. One of the major ...
Industrial Waste Enzymes Fisheries Aquaculture Aquatic Organisms Artificial Intelligence Animals Humans
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Towards reliable data: Validation of a machine learning-based approach for microplastics analysis in marine organisms using Nile red staining.

Marine pollution bulletin Sep 5, 2024
Microplastic (MP) research faces challenges due to costly, time-consuming, and error-prone analysis techniques. Additionally, the variability in data quality across studies limits their comparability. This study addresses the critical need for reliab...
Plastics Oxazines Aquatic Organisms Environmental Monitoring Water Pollutants, Chemical Gastrointestinal Tract Mytilus edulis Microplastics Fishes Machine Learning Animals
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DeepDive: estimating global biodiversity patterns through time using deep learning.

Nature communications May 17, 2024
Understanding how biodiversity has changed through time is a central goal of evolutionary biology. However, estimates of past biodiversity are challenged by the inherent incompleteness of the fossil record, even when state-of-the-art statistical meth...
Aquatic Organisms Biodiversity Fossils Extinction, Biological Biological Evolution Animals Deep Learning Computer Simulation
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Automated identification of aquatic insects: A case study using deep learning and computer vision techniques.

The Science of the total environment May 11, 2024
Deep learning techniques have recently found application in biodiversity research. Mayflies (Ephemeroptera), stoneflies (Plecoptera) and caddisflies (Trichoptera), often abbreviated as EPT, are frequently used for freshwater biomonitoring due to thei...
Aquatic Organisms Biodiversity Ephemeroptera Insecta Deep Learning Neural Networks, Computer Environmental Monitoring Animals Fresh Water
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Bio-QSARs 2.0: Unlocking a new level of predictive power for machine learning-based ecotoxicity predictions by exploiting chemical and biological information.

Environment international Apr 4, 2024
Practical, legal, and ethical reasons necessitate the development of methods to replace animal experiments. Computational techniques to acquire information that traditionally relied on animal testing are considered a crucial pillar among these so-cal...
Aquatic Organisms Fishes Animals Ecotoxicology Water Pollutants, Chemical Machine Learning Quantitative Structure-Activity Relationship Algorithms Invertebrates
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Bioinspiration and biomimetics in marine robotics: a review on current applications and future trends.

Bioinspiration & biomimetics Apr 2, 2024
Over the past few years, the research community has witnessed a burgeoning interest in biomimetics, particularly within the marine sector. The study of biomimicry as a revolutionary remedy for numerous commercial and research-based marine businesses ...
Biomimetics Robotics Aquatic Organisms
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Rapid and accurate identification of marine bacteria spores at a single-cell resolution by laser tweezers Raman spectroscopy and deep learning.

Journal of biophotonics Feb 1, 2024
Marine bacteria have been considered as important participants in revealing various carbon/sulfur/nitrogen cycles of marine ecosystem. Thus, how to accurately identify rare marine bacteria without a culture process is significant and valuable. In thi...
Aquatic Organisms Optical Tweezers Single-Cell Analysis Deep Learning Spores, Bacterial Spectrum Analysis, Raman Time Factors
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